Papers
Adaptive Metropolis with Online Relabeling
Remi Bardenet, Olivier Cappe, Gersende Fort et al.
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Arun Rajkumar, Shivani Agarwal
A Family of MCMC Methods on Implicitly Defined Manifolds
Marcus Brubaker, Mathieu Salzmann, Raquel Urtasun
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
Avneesh Saluja, Priya Krishnan Sundararajan, Ole J Mengshoel
A General Framework for Structured Sparsity via Proximal Optimization
Luca Baldassarre, Jean Morales, Andreas Argyriou et al.
A Hybrid Neural Network-Latent Topic Model
Li Wan, Leo Zhu, Rob Fergus
A metric learning perspective of SVM: on the relation of LMNN and SVM
Huyen Do, Alexandros Kalousis, Jun Wang et al.
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
Zhihua Zhang, Dakan Wang, Edward Chang
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer Dy, Zoubin Ghahramani
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro et al.
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
J. Zico Kolter, Tommi Jaakkola
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer, Amir Globerson
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad Khan, Shakir Mohamed, Benjamin Marlin et al.
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
Xiaohui Chen, Xinghua Shi, Xing Xu et al.
A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji, Jiawei Han
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier, Remi Munos
Bayesian Classifier Combination
Hyun-Chul Kim, Zoubin Ghahramani
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Francois Laviolette, Mario Marchand
Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman Khan et al.
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor, Manfred Opper
Bayesian Quadrature for Ratios
Michael Osborne, Roman Garnett, Stephen Roberts et al.
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
Marco Grzegorzyk, Dirk Husmeier
Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David Dunson et al.
Beyond Logarithmic Bounds in Online Learning
Francesco Orabona, Nicolo Cesa-Bianchi, Claudio Gentile
Causality with Gates
John Winn